Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates
Overview of MM-ArgFallacy2025, a shared task on multimodal fallacy detection and classification.
eleonora-mancini
Overview of MM-ArgFallacy2025, a shared task on multimodal fallacy detection and classification.
Uses genetic-based learning to avoid interlocking in selective-rationalization pipelines.
Introduces RECV, a benchmark for evaluating deductive and abductive reasoning in evidence-based claim verification.
Analyzes how hate-speech definitions vary across cultures and domains.
Overview of the CLEF 2025 CheckThat! Lab on subjectivity, fact-checking, claim normalization, and retrieval.
Frames implicit misogyny detection as argumentative reasoning in Italian and English.
Uses NLP methods to study offensive language through Grice’s cooperative principle.
Introduces MAMKit, a toolkit for multimodal argument mining.
Introduces PejorativITy, an Italian resource for disambiguating pejorative epithets in misogyny detection.
Introduces annotation guidelines and an English news corpus for sentence-level subjectivity detection.